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Q&A: Tips and Techniques for Gathering BI Requirements (Part 1 of 2)

Unlike more traditional systems development, BI projects are driven by data. This requires a distinctly different approach to requirements gathering, as TDWI faculty member Jonathan Geiger explains in this two-part interview.

Q&A: BI Needs of Midsize Firms Sometimes Overlooked

BI vendors sometimes overlook mid-market firms in favor of large enterprises, though smaller organizations wrestle with many of the same issues.

Chasing the Data Science Unicorn

Data science is an exciting area that promises real benefits to organizations in nearly all industries. It should not be stuck in a frustrating pursuit of imaginary heroes of folklore.

How to Avoid Turning Your Enterprise Data Lake into a Data Swamp

Take these three steps to achieve mature enterprise-strength Hadoop.

Apache Spark: The Next Big Thing

What is Spark and why should consumers of BI and business analytics care about it?

Decision Makers Reveal Practices, Problems with Using Enterprise Data

Most survey respondents give their organizations a high grade for its ability to leverage data for making decisions, but problems persist.

The BI Year That Was: 2014

The year that was 2014 was a transitional year in business intelligence and data management, with vendors emphasizing data visualization, storytelling, databases, Spark, and intriguing inventions.

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